Methods and systems for communicating

ABSTRACT

Methods and systems for communicating are disclosed. A method includes obtaining input communication symbols selected from a set of communication symbols, converting input communication symbols into transmittable waveforms using non-periodic functions, and transmitting transmittable waveforms over a communication channel. Another method includes receiving transmittable waveforms constructed using non-periodic functions and transmitted over a communication channel, and demodulating transmittable waveforms. A system includes a modulator adapted to obtain input communication symbols selected from a set of communication symbols and adapted to convert input communication symbols into transmittable waveforms using non-periodic functions, and a transmitter or transceiver adapted to transmit transmittable waveforms over a communication channel. Another system includes a receiver or transceiver adapted to receive transmittable waveforms transmitted over a communication channel and constructed using non-periodic functions, and a demodulator adapted to demodulate transmittable waveforms.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to U.S. Provisional Application61/475,802, filed Apr. 15, 2011 and entitled TELECOMMUNICATION SIGNALINGENHANCEMENTS BASED ON DIRECTIONAL INFORMATION POWER OPTIMIZATION, ANDOTHER CONSIDERATIONS, the entire contents of which are herebyincorporated by reference.

U.S. Patent Application Publication No. 2011/0150048, published Jun. 23,2011 and entitled TELECOMMUNICATION SIGNALING USING NONLINEAR FUNCTIONS,is also incorporated by reference.

BACKGROUND

The following generalizations of Euler's formula are known in the art:

$\begin{matrix}{{f_{m}(t)} = {^{t \cdot {\cos {({2^{1 - m}\pi})}}}^{ \cdot t \cdot {\sin {({2^{1 - m}\pi})}}}}} & (1) \\{{f_{m}(t)} = ^{t\; {{(2^{2 - m})}}}} & (2)\end{matrix}$

In these equations, i is the imaginary constant equal to √{square rootover (−1)}, t is the time parameter, and m has the effect of varying thegeometry of the curve. m=2 corresponds to a complex circle, as the abovereduce to the Euler term e^(ti). Known telecommunication signalingtechniques such as the Quadrature Amplitude Modulation technique (“QAMtechnique”) are based on complex circles. Values of m>2 correspond tocomplex spirals of increasingly rapid growth, and increasingly lowerfrequency.

SUMMARY

An exemplary method for communicating may include obtaining inputcommunication symbols selected from a set of communication symbols,converting input communication symbols into transmittable waveformsusing non-periodic functions, and transmitting transmittable waveformsover a communication channel.

Another exemplary method for communicating may include receivingtransmittable waveforms constructed using non-periodic functions andtransmitted over a communication channel, and demodulating transmittablewaveforms.

An exemplary system for communicating may include a modulator adapted toobtain input communication symbols selected from a set of communicationsymbols and adapted to convert input communication symbols intotransmittable waveforms using non-periodic functions, and a transmitteror transceiver adapted to transmit transmittable waveforms over acommunication channel.

Another exemplary system for communicating may include a receiver ortransceiver adapted to receive transmittable waveforms transmitted overa communication channel and constructed using non-periodic functions,and a demodulator adapted to demodulate transmittable waveforms.

BRIEF DESCRIPTION OF THE FIGURES

The present embodiments are illustrated by way of example and notlimitation in the figures of the accompanying drawings, in which likereferences indicate similar elements.

FIG. 1 a illustrates an exemplary graph of the variation of signalamplitude against positive time for a signal generated by an exemplaryembodiment.

FIG. 1 b illustrates an exemplary graph of the variation of signalamplitude against negative time for a signal generated by an exemplaryembodiment.

FIG. 2 a illustrates an exemplary graph of a spiral with positiverotation plotted in the complex plane.

FIG. 2 b illustrates an exemplary graph of a spiral with negativerotation plotted in the complex plane.

FIG. 3 illustrates an exemplary graph showing a circle plotted in thecomplex plane.

FIG. 4 illustrates an exemplary graph plotted in the complex planeshowing a signal head function combined with a tail function returningthe channel to its initial conditions for a signal generated by anexemplary embodiment.

FIG. 5 a illustrates an exemplary graph plotted in the complex plane ofa signal generated by an exemplary embodiment with positive timedirection and positive direction of rotation.

FIG. 5 b illustrates an exemplary graph plotted in the complex plane ofa signal generated by an exemplary embodiment with negative timedirection and positive direction of rotation.

FIG. 5 c illustrates an exemplary graph plotted in the complex plane ofa signal generated by an exemplary embodiment with positive timedirection and negative direction of rotation.

FIG. 5 d illustrates an exemplary graph plotted in the complex plane ofa signal generated by an exemplary embodiment with negative timedirection and negative direction of rotation.

FIG. 6 illustrates an exemplary embodiment of a system forcommunicating.

FIG. 7 illustrates an exemplary embodiment of a method forcommunicating.

DETAILED DESCRIPTION

Aspects of the present invention are disclosed in the followingdescription and related figures directed to specific embodiments of theinvention. Those skilled in the art will recognize that alternateembodiments may be devised without departing from the spirit or thescope of the claims. Additionally, well-known elements of exemplaryembodiments of the invention will not be described in detail or will beomitted so as not to obscure the relevant details of the invention.

As used herein, the word “exemplary” means “serving as an example,instance or illustration.” The embodiments described herein are notlimiting, but rather are exemplary only. It should be understood thatthe described embodiments are not necessarily to be construed aspreferred or advantageous over other embodiments. Moreover, the terms“embodiments of the invention”, “embodiments” or “invention” do notrequire that all embodiments of the invention include the discussedfeature, advantage or mode of operation.

Further, many of the embodiments described herein are described in termsof sequences of actions to be performed by, for example, elements of acomputing device. It should be recognized by those skilled in the artthat the various sequences of actions described herein may be performedby specific circuits (e.g., application specific integrated circuits(ASICs)) and/or by program instructions executed by at least oneprocessor. Additionally, the sequence of actions described herein may beembodied entirely within any form of computer-readable storage mediumsuch that execution of the sequence of actions enables the processor toperform the functionality described herein. Thus, the various aspects ofthe present invention may be embodied in a number of different forms,all of which have been contemplated to be within the scope of theclaimed subject matter. In addition, for some of the embodimentsdescribed herein, the corresponding form of such embodiments may bedescribed herein as, for example, “a computer configured to” performsome of the described action.

A periodic function is one that repeats its values at regular intervalsor periods. The cosine and sine functions, which are periodic, arewidely used in telecommunications. While periodic functions have thebenefit of simplicity, non-periodic functions are more general anddiverse. This greater diversity may be used in telecommunications forpurposes that may include increasing the differentiation betweensignals, which may allow an increase in the data transmission rate orimproved noise resistance. It may also reduce interference with othersignals. Equation 1 and Equation 2 generate non-periodic functions: theymay describe spirals whose amplitudes increase continually over time.Spirals may be viewed as fundamental components from which generalnon-periodic functions can be constructed. Many possible variations ofthe waveforms in Equation 1 and Equation 2 may be obtained byintroducing multiplicative constants and phase shifts at each of threelevels in Equation 2. Time offsets may also be possible. This may beexemplified by the “general spiral formula”:

$\begin{matrix}{{f_{m}(t)} = {\left\lbrack {\kappa_{0}^{\; \omega_{0}}} \right\rbrack ^{{\lbrack{\kappa_{1}^{\; \omega_{1}}}\rbrack}{({t + t_{0}})}^{{\lbrack{\kappa_{2}^{\; \omega_{2}}}\rbrack}{(2^{2 - m})}}}}} & (3)\end{matrix}$

In Equation 3, a “first level” may refer to [K₀e^(iω) ⁰ ], wherein K₀may be varied for amplitude modulation, and ω₀ may be varied for phasemodulation.

A “second level” may refer to [K_(1e) ^(iω) ¹ ](t+t₀), wherein varyingK₁ may be used for frequency modulation, and generally K₁ and co may bevaried for time reversal. “Time reversal” may refer to reversing thedirection in which a curve is traversed. In the instance of a spiralcurve, it may refer to whether the curve “spirals outwards” (positivetime direction) or “spirals inwards” (negative time direction). The useof time reversal may be used to double the number of distinct symbolsthat can be defined under specified channel conditions, and thereforemay be used to either increase the data transmission rate or to increasenoise resistance. For example, time reversal may be accomplished byusing K₁=±1, or equivalently ω=0 and ω=π. Further, time shifts may beaccomplished by using multiple values of to.

A “third level” may refer to [K₂e^(iω) ² ](2^(2-m)), wherein K₂ and ω₂may be varied for rotational reversal. For example, rotational reversalmay be accomplished by using K₂=±1, or equivalently ω₂=0 and ω₂=π.Further, m may be varied for waveform shape modulation. Higher values ofm≧2 may correspond to more rapid growth and lower frequency. Othervariations may involve the values of K₂, ω₁ and ω₂, for example, toalternatively specify exponential growth and rotational speed propertiesof a spiral.

As opposed to the QAM technique, implementations of the general spiralformula as described herein may allow the number of possible signals tobe doubled through the use of time reversal (as described below), and,with the use of two-component transmission (as described below), to bedoubled again through the use of rotational reversal.

Additional benefits of an implementation of the general spiral formula,as used in exemplary embodiments, may arise from improved use ofavailable power, in two ways: firstly, through the ability to engineerthe signal “crest factor” (ratio of peak to average amplitude) in thissystem to improve signal noise resistance, and secondly, through the useof an improvement over standard “superimposed transmission” that mayallow an effective improvement by a factor of two in power per signal.The signal crest factor for a standard cosine or sine wave, measuredover a complete cycle, may be equal to the square root of two. Animplementation of the general spiral formula, as used in exemplaryembodiments, that increases the crest factor may allow a higher peakamplitude for the same constrained average power, which may be usefulfor some applications to improve noise resistance. An implementation ofthe general spiral formula, as used in exemplary embodiments, thatdecreases the crest factor may be useful for some applications thatbenefit from a higher average power subject to a constraint on maximumpower. Standard superimposed transmission, as may be used by the QAMtechnique, may require adding together cosine and sine waves. Thisaddition may produce a superimposed wave with amplitude greater thaneither the cosine or sine wave by a factor of the square root of two,and therefore a power usage that may be higher by a factor of two. Animplementation of the general spiral formula, as used in exemplaryembodiments, may avoid adding a cosine and sine wave and may thereforereduce power requirements by a factor of two when compared to the QAMtechnique.

Unlike the sine and cosine functions used in traditional signalmodulation, a property of an implementation of the general spiralformula as the modulation technique in exemplary embodiments describedherein, is that it may generate highly non-periodic waveforms.Specifically, the waveforms may not return to the same phase andamplitude at regular intervals as sine and cosine functions do. While aspiral modulation signal may have a well-defined frequency, itsamplitude changes continually over time. This fact may increase theability to perform signal differentiation, and therefore may contributeto improved noise resistance.

Dropping the square brackets for conciseness, the general spiral formula(Equation 3) may be written as,

$\begin{matrix}{{f_{m}(t)} = {\kappa_{0}^{\; \omega_{0}}^{\kappa_{1}{^{\; \omega_{1}}{({t + t_{0}})}}^{\kappa_{2}{^{\; \omega_{2}}{(2^{2 - m})}}}}}} & (4)\end{matrix}$

Equation 4 may be understood by considering special cases. By setting,

K ₀=1;K ₁ =±ω;K ₂=1;ω₀=ω₁=ω₂=0;m=3  (5)

Equation 4 reduces to,

$\begin{matrix}{{f_{3}(t)} = ^{{\pm {\omega {({t + t_{0}})}}}^{(2^{- 1})}}} & (6)\end{matrix}$

By using the identity,

e ^(iπ/2) =i  (7)

and Euler's formula,

e ^(t)=cos(t)+i·sin(t)  (8)

Equation 6 may be rewritten as,

$\begin{matrix}{{f_{3}(t)} = ^{\pm {{\omega {({t + t_{0}})}}{\lbrack{{\cos {(\frac{\pi}{4})}} + {\; {\sin {(\frac{\pi}{4})}}}}\rbrack}}}} & (9)\end{matrix}$

which may be expressed as two factors,

f ₃(t)=e ^(±ω(t+t) ⁰ ^()/√{square root over (2)}) e ^(±iω(t+t) ⁰^()/√{square root over (2)})  (10)

The first factor describes exponential amplitude change, and the secondfactor describes circular motion in the complex plane. Combined, theydescribe a spiral in the complex plane.

Equation 10 may be used to study the effect of reversing the directionof the time parameter in the general spiral formula. If the amplitude ofEquation 10 is plotted against time for the values ω=+1; t₀=0; 0≦t≦3, asin exemplary FIG. 1 a, it yields a rising exponential. This curve may betime-reversed by setting ω=−1. Additionally setting t₀=−3 causes thespiral to start at a high amplitude, from which it decreases byspiraling inward, as in exemplary FIG. 1 b.

FIG. 1 a shows a plot 100 of an exemplary embodiment of a signalcorresponding to Equation 10. A vertical axis 102 represents signalamplitude, a horizontal axis 104 represents symbol time, and an arrow106 indicates the positive time direction.

FIG. 1 b shows a plot 110 of an exemplary embodiment of a signalcorresponding to Equation 10. A vertical axis 112 represents signalamplitude, a horizontal axis 114 represents symbol time, and an arrow116 indicates the negative time direction.

FIGS. 1 a and 1 b represent signals that may be distinguished by theirdifferent patterns of amplitude change over time, independent of peakamplitude, frequency, or phase information. Signal differentiation usingtime direction may be possible in implementations of the general spiralformula. By contrast, signal differentiation using time direction maynot be possible using the QAM technique, in which each signal's complexamplitude is constant throughout its duration.

In addition to time direction, for a spiral it is also independentlypossible to distinguish or specify the direction of rotation. This isshown in FIGS. 2 a and 2 b.

FIG. 2 a shows a plot 200 in the complex plane of an exemplaryembodiment of a spiral with positive (or counterclockwise) rotation. Theplot shows an imaginary axis 202 and a real axis 204. A first arrow 206indicates a positive time direction, and a second arrow 208 indicates anegative time direction.

FIG. 2 b shows a plot 210 in the complex plane of an exemplaryembodiment of a spiral with negative (or clockwise) rotation. The plotshows an imaginary axis 212 and a real axis 214. A first arrow 216indicates a positive time direction, and a second arrow 218 indicates anegative time direction.

As may be seen from FIGS. 2 a and 2 b, time direction and rotationaldirection may be independently specified for spirals. However, for acircle, which is the special case of a spiral where the amplitude doesnot vary, rotational direction and time direction are the same thing.For a circle, one cannot distinguish changing a positive rotationparameter to negative from changing a forward time parameter to thebackward direction. This is illustrated in exemplary FIG. 3.

FIG. 3 shows a plot 300 in the complex plane of an exemplary embodimentof a circle. The plot shows an imaginary axis 302 and a real axis 304. Afirst arrow 306 indicates a positive time direction and a positiverotation direction. A second arrow 308 indicates a negative timedirection and a negative rotation direction.

The strong time-direction differentiation provided by the general spiralformula may make it possible to use time reversal. Implementations ofthe general spiral formula may support at least twice as many signals asthe QAM technique does, for the same channel conditions, which mayinclude specific bandwidth limitations and channel impairments, andavailable signal power, by defining signals using both the forward andbackward time directions. Signals may be defined by specifyingparameters in the general spiral formula, with time-reversed pairs ofsignals created by setting K₁=±1, as described above.

As with existing digital modulation techniques such as the QAMtechnique, “pulse-shaping filter” techniques known in the art may beused with the spiral modulation technique to minimize “inter-channelinterference” (ICI) between adjacent frequency ranges, while controlling“inter-symbol interference” (ISI) between successive symbols.

An additional technique for controlling ICI and ISI may be to restorethe channel to its initial conditions after each symbol is transmitted.This may be accomplished by splitting the “symbol time” into a “headfunction” (that conforms to the general spiral formula) and a “tailfunction” that returns the channel to its initial conditions. An exampleof this is shown in exemplary FIG. 4, which corresponds to a symbolwaveform with m=3. “Symbol time” may refer to the duration of thetransmitted waveform representing a symbol, including the time totransmit the “head function” waveform and (if there is one) the “tailfunction” waveform. The “head function” waveform may correspond to theusual symbol waveform in techniques familiar to the art. The “tailfunction” may provide a means to compensate for the amplitude changeassociated with a spiral by counteracting the amplitude change of thehead function and smoothly returning the channel to its initialamplitude before the start of the symbol waveform.

FIG. 4 shows a plot 400 in the complex plane of an exemplary embodimentof a signal with m=3. The plot shows imaginary axis 402 and a real axis404. The head 406 of the signal may include an increasing spiral. Thetail 408 of the signal may return the channel to its pre-signalconditions.

The use of various tail functions with the spiral modulation techniquemay be chosen for various engineering reasons. Generally, assigning moretime to the tail function may allow for a smoother transition, reducingfrequency spread associated with discontinuities. Possible tailfunctions that may be implemented may include, but are not limited to,linear, exponential decay, and sigmoidal, which would be implemented inways well known in the art. The use of different tail functions bydifferent signals may be used to improve the distinguishability ofsignals, and therefore to increase noise resistance.

The “crest factor” of a signal is defined to be the ratio of its peakamplitude to its average (RMS) amplitude. For signals based on cosine orsine waves of constant amplitude measured over complete cycles, thecrest factor is always equal to the square root of two.

Since exponential curves grow increasingly rapidly over time, signalsbased on the general spiral formula may have much higher crest factorsthan do sine waves. Increasing the value of m in the spiral formula mayincrease the crest factor to an arbitrarily high value.

For applications that are limited by average power usage, such assatellite or mobile communication, this ability to manipulate the crestfactor may be quite useful. A higher crest factor may allow the sameamount of average power to produce higher peak signal amplitude, whichmay improve noise resistance by providing signal data that has muchhigher amplitude than channel noise, facilitating accurate readings. Ahigher crest factor may be associated with a convex amplitude versustime graph, that is, one that “bends upwards”. The amplitude versus timegraph for Equation 4 is convex.

There may also be applications for which it may be desired to lower thecrest factor, so that the average power is closer to the peak power thanis the case for sine waves. This may be useful for communicationembodiments in which peak power is limited but average power is not, inwhich case raising the average power with respect to the peak power mayimprove noise resistance. A lower crest factor may also be useful forapplications in which it is desired to efficiently produce noise tointerfere with signal transmission, where the higher average powerfacilitates crisscrossing with the signal to be interfered with. A lowercrest factor may be obtained by various adjustments to the generalspiral formula. These adjustments may include starting with convexsymbol waveforms generated by the general spiral formula, thenreflecting the amplitude vs. time graph of each symbol waveform acrossthe horizontal line corresponding to half peak amplitude. This mayconvert an amplitude graph that is “usually low” into an amplitude graphthat is “usually high”. The effect may be to move the symbol waveformaverage power much closer to the peak power, thus lowering the crestfactor.

As previously discussed, the general spiral formula may allow for adoubling of the number of possible symbols through time reversal: thatis, by a choice of which direction the points in the symbol's waveformare traversed. For a spiral, “time reversal” may correspond to a choicebetween spiraling inwards or outwards. It may also be possible to doublethe number of possible symbols again by using rotational reversal.“Rotational reversal” may correspond to a choice between rotating aspiral clockwise or counterclockwise in the complex plane. As with timereversal, the extra differentiation provided by rotational reversal canbe used to either increase the data rate or improve noise resistance.

Using both time reversal and rotational reversal, it may be possible togenerate four quite distinct sequences of points. This is illustrated inexemplary FIG. 5 a-5 d.

FIG. 5 a shows a plot 500 in the complex plane of an exemplaryembodiment of a signal with positive time direction and positiverotation. The plot shows an imaginary axis 502 and a real axis 504. Thehead 506 of the signal may include an increasing spiral. The tail 508 ofthe signal may return the channel to its pre-signal conditions. Arrows510 may indicate the direction of time, and point 512 indicates thestarting point of the signal in the complex plane.

FIG. 5 b shows a plot 520 in the complex plane of an exemplaryembodiment of a signal with negative time direction and positiverotation. The plot shows an imaginary axis 522 and a real axis 524. Thehead 526 of the signal may include a decreasing spiral. The tail 528 ofthe signal may raise the channel from its pre-signal conditions. Arrows530 indicate the direction of time, and point 532 indicates the startingpoint of the signal in the complex plane.

FIG. 5 c shows a plot 540 in the complex plane of an exemplaryembodiment of a signal with positive time direction and negativerotation. The plot shows an imaginary axis 542 and a real axis 544. Thehead 546 of the signal may include an increasing spiral. The tail 548 ofthe signal may return the channel to its pre-signal conditions. Arrows550 indicate the direction of time, and point 552 indicates the startingpoint of the signal in the complex plane.

FIG. 5 d shows a plot 560 in the complex plane of an exemplaryembodiment of a signal with negative time direction and negativerotation. The plot shows an imaginary axis 562 and a real axis 564. Thehead 566 of the signal may include a decreasing spiral. The tail 568 ofthe signal may raise the channel from its pre-signal conditions. Arrows570 indicate the direction of time, and point 572 indicates the startingpoint of the signal in the complex plane.

FIG. 5 a-5 d depict exemplary symbol waveforms in which half of thesymbol time is given to the head function, and half to the tailfunction. This is purely exemplary for clarity of presentation. Someapplications may use a shorter tail function, which may provide bettersignal differentiation. Further, the use of a linear tail function inFIG. 5 a-5 d is exemplary and intended to provide a clear visualdifferentiation between the head and tail function. Some applicationsmay use a tail function providing a smoother transition, such as asigmoidal or exponential.

As previously discussed, for signaling techniques that are based on acomplex circle, such as the QAM technique, time reversal and rotationalreversal are the same thing. In the absence of amplitude growthinformation, one may not distinguish rotational reversal from timereversal. This may be indicated by exemplary FIG. 3, in which timereversal and rotational reversal are identical. However, rotationalreversal by itself is definable on a circle.

Despite the fact that the QAM technique is based on circular motion inthe complex plane, the QAM technique may not be able to use rotationalreversal to increase its data rate or improve noise resistance. Firstly,the signal formula used in the QAM technique (“QAM signal formula”)inherently discards rotational information. Secondly, superimposedtransmission used in the QAM technique removes rotational information.These considerations are explained below.

To make a comparison of rotational information between the generalspiral formula given in Equation 4 and the QAM signal formula, one mayexamine the special case of the general spiral formula in which m=2.This corresponds to the QAM condition of signals without amplitudegrowth. Matching the QAM amplitude and phase modulation properties byletting ω₀ and K₀ assume multiple values, Equation 4 may be reduced tothe form,

f ₂(t)=K ₀ e ^(iω) ⁰ e ^(it)  (11)

Here, the effect of reversal may be clearly distinguished. Positiverotation yields,

f ₂(t)=K ₀ e ^(iω) ⁰ e ^(it) =K ₀ e ^(iω) ⁰ (cos(t)+i·sin(t))  (12)

and negative rotation yields,

f ₂(−t)=K ₀ e ^(iω) ⁰ e ^(−it) =K ₀ e ^(iω) ⁰ (cos(t)−i·sin(t))  (13)

However, the QAM signal formula does not allow for this distinction tobe made. From the QAM signal formula,

s(t)=I cos(ωt)+Q sin(ωt)  (14)

one cannot distinguish between a rotational reversal, −ωt, and a signreversal of the imaginary component, −Q, because of the anti-symmetry ofthe sine function,

−Q sin(ωt)=Q sin(−ωt)  (15)

The QAM signal formula could avoid this problem by not allowing Q toassume negative values, reserving the sign for rotations. But this wouldhave the effect of making signals generated using the QAM signal formulamore difficult to distinguish from each other (it would correspond tonot using the bottom half of the constellation diagram of signalsgenerated using the QAM signal formula) and would therefore increase thebit error rate.

Essentially, the general spiral formula may use a polar formulation thatpreserves rotational information, whereas the QAM signal formula uses aCartesian formulation that removes it.

As previously discussed, for the special case m=2, corresponding to acircle, there is no distinction between time reversal and rotationalreversal. For any higher value of m, however, time and rotationalreversal are distinct, as was shown geometrically in FIG. 5 a-5 d.

The difference between time and rotational reversal may also be examinedalgebraically, for example, using m=3. The value m=3 is special in thatit causes the cosine and sine factors in Equation 1 to be equal.However, the same general spiral properties hold for any m>2.

The following configuration,

K _(O)=1;K ₁=±1;K ₂=±1;ω₀=ω₁=ω₂=0;m=3  (16)

for Equation 4, yields,

$\begin{matrix}{{f_{3}(t)} = ^{{\pm t}\; ^{\pm {(2^{2 - 3})}}}} & (17)\end{matrix}$

Again using the Equation 7 and Equation 8 identities, this becomes,

f ₃(t)=e ^(±) ¹ ^(ωt/√{square root over (2)}) e ^(±) ²^(iωt/√{square root over (2)})  (18)

Here, the ± operators are subscripted to emphasize that (unlike forEquation 10) they are independent of each other, allowing for fourpossibilities,

f ₃(t)=e ^(ωt/√{square root over (2)}) e^(iωt/√{square root over (2)})  (19)

f ₃(t)=e ^(−ωt/√{square root over (2)}) e^(iωt/√{square root over (2)})  (20)

f ₃(t)=e ^(ωt/√{square root over (2)}) e^(−iωt/√{square root over (2)})  (21)

f ₃(t)=e ^(−ωt/√{square root over (2)}) e^(−iωt/√{square root over (2)})  (22)

Equations 19-22 represent the four possible combinations of timereversal and rotational reversal. Viewed as equations, they may bedistinguished from each other. Whether an implementation of the generalspiral formula supports both time and rotational reversal, and thereforefour times as many signals as QAM for the same channel conditions, maydepend on the technical aspects of how signal transmission is performed.

This leads to the second reason that rotational reversal may not workfor the QAM technique, namely that QAM superimposed transmission removesrotational information.

“Superimposed transmission” may refer to summing the cosine and sinecomponents of a signal obtained using the QAM technique and transmittingthe sum. The orthogonality of the cosine and sine functions may allowthem to be separated by the receiver.

An advantage of superposition may be time efficiency, compared tosending the cosine and sine components separately using the same symboltime individually for each. There are, however, two disadvantages ofsuperposition. Firstly, superposition inherently reduces informationthroughput by one bit per symbol. Secondly, superposition reduces powerefficiency. Indeed, the superimposed sum has a higher amplitude thaneither component individually by a factor of √{square root over (2)}.This means that each component may have to use a lower amplitude thanthe channel would in principle allow, thus increasing noisesusceptibility.

The reduction of information throughput from superposition arises fromthe following identity,

$\begin{matrix}{{{\cos (t)} + {\sin (t)}} = {{\cos \left( {\frac{\pi}{2} - t} \right)} + {\sin \left( {\frac{\pi}{2} - t} \right)}}} & (23)\end{matrix}$

This identity indicates that superposition may not distinguish betweenan angle that produces a high value of cos(t) with a low value ofsin(t), or the converse. The identity may be proven by applying standardidentities to the right side of Equation 23, as follows.

Using the sum of angle trigonometric identities,

cos(α+β)=cos(α)cos(β)−sin(α)sin(β)  (24)

and,

sin(α+β)=cos(α)sin(β)+sin(α)cos(β)  (25)

the right side of Equation 23 becomes,

$\begin{matrix}{{{\cos \left( {\frac{\pi}{2} - t} \right)} + {\sin \left( {\frac{\pi}{2} - t} \right)}} = {{{\cos \left( \frac{\pi}{2} \right)}{\cos \left( {- t} \right)}} - {{\sin \left( \frac{\pi}{2} \right)}{\sin \left( {- t} \right)}} + {{\cos \left( \frac{\pi}{2} \right)}{\sin \left( {- t} \right)}} + {{\sin \left( \frac{\pi}{2} \right)}{\cos \left( {- t} \right)}}}} & (26)\end{matrix}$

Which simplifies to,

$\begin{matrix}\begin{matrix}{{{\cos \left( {\frac{\pi}{2} - t} \right)} + {\sin \left( {\frac{\pi}{2} - t} \right)}} = {0 - {1\; {\sin \left( {- t} \right)}} + 0 + {1\; {\cos \left( {- t} \right)}}}} \\{= {{\sin (t)} + {\cos (t)}}}\end{matrix} & (27)\end{matrix}$

One way of viewing Equation 23 is that superposition cannot tell anegative rotation from a phase shift of λ/2. This may be seen from thefollowing special case of Equation 23:

$\begin{matrix}{{{\cos \left( {- t} \right)} + {\sin \left( {- t} \right)}} = {{\cos \left( {t + \frac{\pi}{2}} \right)} + {\sin \left( {t + \frac{\pi}{2}} \right)}}} & (28)\end{matrix}$

Therefore, even if the QAM technique did not inherently discardrotational information, it would lose it in superimposed transmission.

If superimposed transmission is used, the general spiral formula issimilarly affected. Yet, the general spiral formula differs from the QAMsignal formula in at least two ways.

First, even with superimposed transmission, the general spiral formulasupports time reversal—and the QAM signal formula does not—because theamplitude variation over time is not affected by superposition.

Second, an implementation of the general spiral formula may userotational reversal with superimposed transmission as long as phasemodulation is not also used. For QAM, signal generation requires phaseshifts; for an implementation of the general spiral formula, it doesnot. Signals may also be generated by selecting different m values, asdescribed in U.S. Patent Application Publication No. 2011/0150048,herein incorporated by reference.

Finally, superposition may not be the only means of transmittingsignals. “Two-component transmission” may also be possible.

Superposition is an example of what may be called “one-componenttransmission”: representing a signal (in the case of the QAM techniqueor the general spiral formula, a two-dimensional signal) with a singleseries of values.

“Two-component transmission” may include transmitting both the cosineand sine components independently. Further, intra-symbol timemultiplexing may be used. In intra-symbol multiplexing, the cosine andsine components may be transmitted one after the other. Two-componenttransmission and intra-symbol multiplexing may be used with the generalspiral formula to send rotationally-reversed signals. Two-componenttransmission may be used to transmit transmittable waveforms usingperiodic or non-periodic functions.

Aside from enabling rotational reversals, two-component transmission maybe helpful for noise resistance, in at least three ways.

The first advantage of two-component transmission for noise resistanceis that two-component transmission may allow the receiver to take a highnumber of samples per symbol, and to use this oversampling to averageout channel noise. This is not possible with superposition, since theintermingling of real and imaginary data allows for only four possiblesampling points per cycle, at the points where the real or imaginaryvalue is known to be zero so the other may be determined unambiguously.

The second advantage of two-component transmission for noise resistance,particularly valuable for channels with nonlinear properties, is that itmay make possible the use of techniques described in U.S. PatentApplication Publication No. 2011/0150048, herein incorporated byreference, that require the clear separation between real and imaginarydata to analyze signal shape properties.

The third advantage of two-component transmission for noise resistance,discussed below, is that it may improve signal power efficiency by afactor of two.

There may be a large reduction in data rate if two-componenttransmission involves sending each component individually in the sametime interval as a superimposed signal. However, if the sampling rate issufficient, it may be possible to transmit each component in half thetime, keeping the overall symbol time interval constant. For example,one portion of a signal may correspond to one symbol, while anotherportion of the signal may correspond to another symbol. It may also bepossible to send each component in a quarter of the time (or smallerfractions or divisions, regular or irregular) thus increasing the datarate when compared to conventional modulation techniques such as the QAMtechnique. This may be used to enable two or more symbols to betransmitted within the same symbol time interval that the QAM techniqueand similar techniques require to transmit a single symbol.

An implementation of the general spiral formula may support a much morepower-efficient signal transmission technique than superposition usingthe QAM technique. As previously mentioned, superposition using the QAMtechnique reduces component amplitude by a factor of 1/√{square rootover (2)}. This arises as follows.

The QAM (superimposed) signal formula,

s(t)=I cos(ωt)+Q sin(ωt)  (29)

$\begin{matrix}{{s(t)} = {\sqrt{I^{2} + Q^{2}}\left\lbrack {{\frac{I}{\sqrt{I^{2} + Q^{2}}}{\cos \left( {\omega \; t} \right)}} + {\frac{Q}{\sqrt{I^{2} + Q^{2}}}{\sin \left( {\omega \; t} \right)}}} \right\rbrack}} & (30)\end{matrix}$

is equivalent to the following,

Since

$\frac{I}{\sqrt{I^{2} + Q^{2}}}$ and $\frac{Q}{\sqrt{I^{2} + Q^{2}}}$

square to one, they may be viewed as the sine and cosine of some angleα. This yields,

s(t)=√{square root over (I ² +Q ²)}[sin(α)cos(ωt)+cos(α)sin(ωt)]  (31)

which is equivalent to,

s(t)=√{square root over (I ² +Q ²)}[sin(ωt+α)]  (32)

The amplitude in the QAM (superimposed) signal formula may be greaterthan either the I or Q components separately. The maximum occurs whenI=Q, in which case the superimposed magnitude is greater than eithercomponent magnitude individually by a factor of √{square root over (2)}.

Because superposition using the QAM technique has to “leave room” forthis case, each component individually may be no more than 1/√{squareroot over (2)} of the maximum channel amplitude. This decrease incomponent amplitude of course increases noise vulnerability.

With an implementation of the general spiral formula, the sameinformation may be conveyed without this 1/√{square root over (2)}reduction. This follows immediately for two-component transmission,since no superposition is required.

This may also be true for one-component transmission, because for animplementation of the general spiral formula, superposition isequivalent to simply phase shifting either component. Thus, it issufficient to transmit either component (optionally with a phase shift).

This may be seen by analyzing the superposition of an implementation ofthe general spiral formula, as follows.

For ease of comparison with the QAM signal formula, a version of thegeneral spiral formula is used with m=2, which corresponds to thecondition of no signal growth in the QAM technique.

Starting with Equation 12, adding the cosine and sine componentsprovides,

K ₀ e ^(iω) ⁰ (cos(t)+sin(t))  (33)

Using trigonometric identities similar to those used above, this isequivalent to,

K ₀ e ^(iω) ⁰ √{square root over (2)}((1/√{square root over(2)})cos(t)+(1/√{square root over (2)})sin(t))  (34)

√{square root over (2)}K ₀ e ^(iω) ⁰(sin(π/4)cos(t)+cos(π/4)sin(t))  (35)

√{square root over (2)}K ₀ e ^(iω) ⁰ (sin(t+π/4))  (36)

Equation 36 is simply the general spiral formula sine componentphase-shifted by a constant π/4 and scaled by a factor of √{square rootover (2)}. No new information may be gained by superposition of animplementation of the general spiral formula, when compared totransmitting either component individually. This differs from the QAMsignal detection.

The simplicity of Equation 36 arises because the general spiral formulaassigns the same amplitude to both components; both contain the sameinformation. Whereas the QAM technique stores information in independentamplitude weights to the cosine and sine components, the general spiralformula uses a polar formulation with a common amplitude and phase. Thisinformation is available to either component individually.

Since power is proportional to the square of amplitude, animplementation of the general spiral formula's advantage of a factor ofa square root of two in amplitude over the QAM technique insingle-component transmission is equivalent to a power advantage of afactor of two.

For illustrative purposes, an exemplary implementation of time reversalwith two-component transmission is described below and compared totechniques known to the art.

It may be desired to design a communication system supporting eightpossible symbols available for transmission. Techniques known to the artmight produce a special case of the QAM technique, known as “8-PSK”(Phase Shift Keying), in which the eight symbols are represented byeight complex numbers all having equal amplitude, phase shifted fromeach other by π/4 around a complex circle. These eight complex numbersmay be used to define the initial phase of eight pairs of cosine andsine waves at the required transmission frequency over one cycle. Knowntechniques would then use superimposed transmission, representing eachsymbol by the sum of its associated cosine and sine waves. A raisedcosine filter (or square root raised cosine filter) may be used tocontrol the frequency spread of the superimposed wave and to reduce ICI.The signal receiver could deduce the transmitted symbol by sampling atspecial points that allow the cosine and sine data to be extracted fromthe superimposed wave. For superimposed data, the cosine values may onlybe read unambiguously when the sine data is zero, and vice-versa. Thisprovides at most two cosine and two sine data points per cycle.

An exemplary embodiment of a method for communicating may instead use aset of eight communication symbols mapped to eight complex spirals, orto eight non-periodic functions known in the art. In an exemplaryembodiment of a method for communicating, four complex spirals, phaseshifted from each other by π/2 and with a shape modulation factor, mayuse m=2.4. These four complex spirals may be used to generate four pairsof real and imaginary waves at the required frequency over half a cyclefor each of the real and imaginary waves. Using time-multiplexing, fourwaveforms may be generated by sequencing each symbol's real wavefollowed by its paired imaginary wave, producing a combined wave of thesame duration as a superimposed 8-PSK waveform. The number of symbolsmay be doubled from four to eight, matching 8-PSK, by using timereversal: for each of the four combined waveforms as described above, anew waveform may be created by sequencing the time-reversed real wave bythe time-reversed imaginary wave. A Gaussian filter may be used tocontrol the frequency spread of the combined waveforms. The signalreceiver may over-sample the received real and imaginary data to reducenoise and identify the transmitted signals using the technique ofmatched filters known to the art.

PSK uses a raised cosine filter, whereas an exemplary embodiment of amethod for communicating described above may use a Gaussian filter. TheGaussian filter may have advantages over a raised cosine filter, interms of ICI, power, complexity of implementation, and ISI averaged overmultiple samples. 8-PSK is forced to use a raised cosine filter becauseit minimizes ISI for the single point at which the 8-PSK receiverextracts signal data.

Since an exemplary embodiment of a method for communicating has real andimaginary data unambiguously separated from each other, it is notlimited in its ability to sample the signal multiple times in thereceiver. An exemplary embodiment may therefore control for noise moreeffectively than 8-PSK by over-sampling in the receiver, while achievingthe advantages associated with using a Gaussian rather than raisedcosine filter.

Techniques of matched filter signal detection known in the art may beoptimal for communication channels whose only distortion is AdditiveWhite Gaussian Noise (AWGN). Their effectiveness, however, may depend onthe ability to extract multiple data points, which may be facilitated bythe time-multiplexing method described above. Signal detectiontechniques for non-AWGN channels are described in U.S. PatentApplication Publication No. 2011/0150048, herein incorporated byreference.

FIG. 6 shows an exemplary embodiment 600 of a system for communicating,which may include a modulator 610, a transmitter or transceiver 620, acommunication channel 630, a receiver or transceiver 640, and ademodulator 650. The demodulator 650 may include a decoder 652. Themodulator 610 may include an encoder 612 and a pulse-shaping filter 614.A plurality of input communication symbols 60 may be obtained from a setof communication symbols, converted into a plurality of transmittablewaveforms using a modulator 610 and using a plurality of functionsselected from a set of non-periodic functions, and transmitted over acommunication channel 630 using a transmitter or transceiver 620.

Input communication symbols may be, for example, stored in the modulator610, or obtained from or supplied by an electronic device. Thenon-periodic functions may be, for example, stored in the modulator 610or obtained from an electronic device.

The transmittable waveforms may be received using receiver ortransceiver 640, and demodulated using demodulator 650 to yield aplurality of output communication symbols 61. Output communicationsymbols may be, for example, communicated to a user or an electronicdevice.

An electronic device may include a computer-readable media, a computer,a satellite communication device, and/or a mobile device, such as apersonal digital assistant, a laptop computer, or cellular telephone.The electronic device, for example, may store, convert, process,transmit, receive, communicate to a user, and/or otherwise manage,communication symbols data, non-periodic functions data, and/ortransmittable waveforms. Any of the above components, including themodulator 610, the transmitter or transceiver 620, the receiver ortransceiver 640, the demodulator 650, and the electronic device, mayinclude one or more processors and computer-readable media, as known toone having ordinary skill in the art.

FIG. 7 shows an exemplary embodiment 700 of a method for communicating,which may include obtaining a plurality of input communication symbolsselected from a set of communication symbols at step 710, converting theplurality of input communication symbols into a plurality oftransmittable waveforms constructed using functions at step 720,transmitting the plurality of transmittable waveforms over acommunication channel at step 730, receiving the plurality oftransmittable waveforms at step 740, demodulating the plurality oftransmittable waveforms at step 750, and communicating a set of outputcommunication signals to a user or to an electronic device at step 760.

At step 710, a plurality of input communication symbols may be obtainedusing a modulator and/or an electronic device. The input communicationsymbols may be selected from a set of communication symbols. Forexample, the set of input communication symbols may contain eightcommunication symbols. The electronic device may include acomputer-readable media, a computer, a satellite communication device,and/or a mobile device, such as a personal digital assistant, a laptopcomputer, or cellular telephone.

At step 720, the plurality of input communication symbols may beconverted into a plurality of transmittable waveforms using a modulator.The waveforms may be constructed using functions, including but notlimited to Equation 3. The functions may be selected from a set ofnon-periodic functions. The non-periodic functions may be either storedin a modulator or obtained from an electronic device. The set ofnon-periodic functions may be mapped to, or may correspond to, a set ofcommunication symbols. The electronic device may include acomputer-readable media, a computer, a satellite communication device,and/or a mobile device, such as a personal digital assistant, a laptopcomputer, or cellular telephone.

The modulator may include an encoder to convert a plurality of inputcommunication symbols into amplitude data and a pulse-shaping filter toband-limit the signal. The encoder may convert a plurality ofcommunication symbols into amplitude data by (1) retrieving digitalamplitude data from a lookup table indexed by symbol numbers, (2)producing an analog waveform equivalent to the symbol sequence usinganalog devices familiar to the art, or (3) using any other encodingtechnique known in the art. The pulse-shaping filter may be a Gaussianfilter or any other filter known in the art.

A lookup table may map the set of non-periodic functions to the set ofcommunication symbols. For example, a lookup table may include valuesfor a non-periodic function {F_(j) (t)}. The selection of {(F_(j)(t)}may be based on the consideration of channel properties such as noiseand available amplitude and frequency range, as well as optimizationcriteria. For example, {F_(j)(t)} may be selected to maximize thedifference between their signal-detection matched filters, subject tolimitations on the number of allowable samples, power usage, andmodulator and demodulator chip complexity. A unique numeric code, suchas binary codes, may be assigned by a processor for each F_(j)(t), whichare agreed upon by a transmitter or transceiver and a receiver ortransceiver.

{(F_(j)(t)} may be based on Equation 3. Unique numeric codes may bedetermined as a function of amplitude, phase, time direction, frequency,rotational direction, and/or growth. For example, unique numeric codesmay be determined by varying phase (ω₀ in Equation 4), growth (m inEquation 4), and time direction (K₁ or ω₁ in Equation 4). Alternatively,any type of non-periodic waveforms may be used.

Using the unique numeric codes, the plurality of input communicationsymbols may be converted into an equivalent sequence of non-periodicfunctions selected from {F_(j)(t)}, and a plurality of waveforms may begenerated using a transmitter or transceiver.

At step 730, the plurality of transmittable waveforms may be transmittedover a communication channel using a transmitter or a transceiver. Theplurality of transmittable waveforms may be transmitted through air,fiber optic cable, or any other media known in the art. Thecommunication channel may suffer from noise, fading, distortion or anyother channel impairments known in the art.

Two-component transmission may be used, as it may facilitate the use ofrotational reversal. Further, two-component intra-symboltime-multiplexing may be used to facilitate over-sampling of signaldata, which may be used to average out noise.

Further, different portions of a transmittable waveform may correspondto different symbols. This may allow for a higher data rate whencompared to conventional modulation techniques, such as the QAMtechnique.

Further, symbol rate may be increased by reducing the two-componentintra-symbol time-multiplexing for each of the real and imaginarycomponents of a symbol's transmitted amplitudes.

Power properties of a transmitted signal may be changed by manipulatingthe crest factor of a signal in order to change its power properties.For example, the crest factor may be manipulated by multiplying asinusoidal waveform by an exponential waveform, and/or by adjusting the“m” parameter in the general spiral formula.

The transition between symbols may be smoothed by splitting symboltransmission data into head and tail functions between symbols.

At step 740, the plurality of transmittable waveforms may be receivedusing a receiver or transceiver.

At step 750, the plurality of transmittable waveforms may be demodulatedusing a demodulator. The demodulator 130 may include a decoder 132. Theplurality of transmittable waveforms may be broken down into amplitudedata intervals corresponding to each symbol. The receiver or transceivermay sample the transmitted waveforms and determine which “j” was sent bylook-up in a pre-computed table of values for {F_(j)(t)}. Thetransmitted waveform may be decoded by a processor from the relationshipbetween the “j” values and unique numeric codes.

Alternatively, for channels including primarily Additive White GaussianNoise (AWGN), signal-detection-matched filter techniques known in theart may be used to convert a signal amplitude data into a sequence ofreceived symbols. For channels with other impairments, other filteringtechniques may be used in addition to or in lieu ofsignal-detection-matched filters. These other techniques may includethose described in U.S. Patent Application Publication No. 2011/0150048,herein incorporated by reference.

At step 760, a set of output communication signals may be communicatedto an electronic device or to a user. An electronic device may include acomputer-readable media, a computer, a satellite communication device,and/or a mobile device, such as a personal digital assistant, a laptopcomputer, or cellular telephone.

In other exemplary embodiments, an electronic device, for example, maystore, convert, process, transmit, receive, communicate to a user,and/or otherwise manage, communication symbols data, non-periodicfunctions data, and/or transmittable waveforms.

The foregoing description and accompanying figures illustrate theprinciples, preferred embodiments and modes of operation of theinvention. However, the invention should not be construed as beinglimited to the particular embodiments discussed above. Additionalvariations of the embodiments discussed above will be appreciated bythose skilled in the art.

Therefore, the above-described embodiments should be regarded asillustrative rather than restrictive. Accordingly, it should beappreciated that variations to those embodiments may be made by thoseskilled in the art without departing from the scope of the invention asdefined by the following claims.

1. A method for communicating comprising: obtaining one or a pluralityof input communication symbols selected from a set of communicationsymbols; converting the one or a plurality of input communicationsymbols into one or a plurality of transmittable waveforms using one ora plurality of non-periodic functions selected from a set ofnon-periodic functions; and transmitting the one or a plurality oftransmittable waveforms over a communication channel.
 2. The method forcommunicating of claim 1, wherein each non-periodic function in the setof non-periodic functions differs from other non-periodic functions inthe set of non-periodic functions by at least one of an amplitude, aphase, a frequency, a time direction, a time shift, a rotationaldirection, and a growth.
 3. The method for communicating of claim 1,wherein at least one of the one or a plurality of input communicationsymbols and the set of non-periodic functions is obtained from at leastone of a modulator, a computer-readable media, a computer, a satellitecommunication device and a mobile device.
 4. The method forcommunicating of claim 1, wherein one or a plurality of portions of atleast one of the one or a plurality of transmittable waveformscorresponds to at least one of the one or a plurality of inputcommunication symbols.
 5. The method for communicating of claim 1,wherein the one or a plurality of transmittable waveforms is at leastone of generated and transmitted over the communication channel usingtwo-component transmission.
 6. The method for communicating of claim 5,wherein the one or a plurality of transmittable waveforms is at leastone of generated and transmitted over the communication channel furtherusing intra-symbol time multiplexing.
 7. A method for communicatingcomprising: receiving one or a plurality of transmittable waveformstransmitted over a communication channel; and demodulating the one or aplurality of transmittable waveforms, wherein the one or a plurality oftransmittable waveforms are constructed using one or a plurality ofnon-periodic functions selected from a set of non-periodic functions. 8.The method for communicating of claim 7, further comprisingcommunicating one or a plurality of output communication symbols to atleast one of a user, a computer-readable media, a computer, a satellitecommunication device and a mobile device.
 9. The method forcommunicating of claim 7, wherein each non-periodic function in the setof non-periodic functions differs from other non-periodic functions inthe set of non-periodic functions by at least one of an amplitude, aphase, a frequency, a time direction, a time shift, a rotationaldirection, and a growth.
 10. The method for communicating of claim 7,wherein one or a plurality of portions of at least one of the one or aplurality of transmittable waveforms corresponds to at least one of oneor a plurality of input communication symbols.
 11. The method forcommunicating of claim 7, wherein the one or a plurality oftransmittable waveforms is at least one of generated and transmittedover the communication channel using two-component transmission.
 12. Themethod for communicating of claim 11, wherein the one or a plurality oftransmittable waveforms is at least one of generated and transmittedover the communication channel further using intra-symbol timemultiplexing.
 13. The method for communicating of claim 7, wherein atleast one of the one or a plurality of transmittable waveforms comprisesa head portion and a tail portion, such that the tail portion returnsthe communication channel to initial conditions.
 14. The method forcommunicating of claim 7, wherein the one or a plurality oftransmittable waveforms is received using at least one of a receiver anda transceiver.
 15. A system for communicating comprising: a modulatoradapted to obtain one or a plurality of input communication symbolsselected from a set of communication symbols, and to convert the one ora plurality of input communication symbols into one or a plurality oftransmittable waveforms using one or a plurality of non-periodicfunctions selected from a set of non-periodic functions; and at leastone of a transmitter and a first transceiver adapted to transmit the oneor a plurality of transmittable waveforms over a communication channel.16. The system for communicating of claim 15, wherein each non-periodicfunction in the set of non-periodic functions differs from othernon-periodic functions in the set of non-periodic functions by at leastone of an amplitude, a phase, a frequency, a time direction, a timeshift, a rotational direction, and a growth.
 17. The system forcommunicating of claim 15, wherein at least one of the one or aplurality of input communication symbols and the set of non-periodicfunctions is obtained from at least one of a modulator, acomputer-readable media, a computer, a satellite communication deviceand a mobile device.
 18. The system for communicating of claim 15,wherein one or a plurality of portions of at least one of the one or aplurality of transmittable waveforms corresponds to at least one of theone or a plurality of input communication symbols.
 19. The system forcommunicating of claim 15, wherein the one or a plurality oftransmittable waveforms is at least one of generated and transmittedover the communication channel using two-component transmission.
 20. Thesystem for communicating of claim 19, wherein the one or a plurality oftransmittable waveforms is at least one of generated and transmittedover the communication channel further using intra-symbol timemultiplexing.